2 papers
math.OC2026
ADMM and Linearized ADMM for Weakly Convex Minimization
Shenghan Mei, Chengyu Ke, Yifei Lou +1
We study a class of weakly convex optimization problems in which the objective is the sum of a smooth convex term and a weakly convex term that may be nonsmooth. To exploit this st…
math.NA2025
Tensor robust principal component analysis via the tensor nuclear over Frobenius norm
Huiwen Zheng, Yifei Lou, Guoliang Tian +1
We address the problem of tensor robust principal component analysis (TRPCA), which entails decomposing a given tensor into the sum of a low-rank tensor and a sparse tensor. By lev…